Big Data Architect
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CSQ126R83
As a Big Data Architect in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients.
The impact you will have:
Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications.
Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.
Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.
Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.
What we look for:
12+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
6+ years of experience working on Big Data Architectures independently
Strong experience working in the Databricks ecosystem
Comfortable writing code in either Python or Scala.
Experience working across Cloud Platforms (GCP / AWS / Azure)
Documentation and white-boarding skills.
Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
A strong to-do attitude and excellent problem-solving skills
Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world
Big Data Architect
To see similar active jobs please follow this link: Remote Development jobs
CSQ126R83
As a Big Data Architect in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients.
The impact you will have:
Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications.
Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.
Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.
Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.
What we look for:
12+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
6+ years of experience working on Big Data Architectures independently
Strong experience working in the Databricks ecosystem
Comfortable writing code in either Python or Scala.
Experience working across Cloud Platforms (GCP / AWS / Azure)
Documentation and white-boarding skills.
Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
A strong to-do attitude and excellent problem-solving skills
Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world